Breaking down the language of racism: a computerised linguistic analysis of racist groups’ self-defining online statements

TY - JOUR

T1 - Breaking down the language of racism

T2 - a computerised linguistic analysis of racist groups’ self-defining online statements

AU - Faulkner, Nicholas

AU - Bliuc, Ana-Maria

PY - 2018/12/10

Y1 - 2018/12/10

N2 - The Internet representsapowerful tool for racist groups toachieve their collective goals –i.e., disseminatingracist ideologies, increasing their support base, and enhancing theirtransnational influence. Their online presence is carefully and strategically crafted as it often constitutes their first point of contact with potential supporters. To identify linguistic markers or racist (online) communication and key presentational strategies of racistgroups, we examine the languagethey use when describingtheirself-definingbeliefson their websites. A dataset ofgroup online statements of racist self-defining beliefs (N= 102) was analysed using a computerised linguisticanalysis software; we compared this dataset witha baseline of neutral texts(N= 12,173). We found that online self-defining statements of racist groupswere characterised by greater use of divisivelanguage anda strongerfocus on collective identity. Weidentified an increased use of religion and anger words, and reduced use of sadness and cognitive complexity words. We conclude by discussingimplications of these findingsfor designing policiesaiming to counteractthe harmful societal effects of racist groups.

AB - The Internet representsapowerful tool for racist groups toachieve their collective goals –i.e., disseminatingracist ideologies, increasing their support base, and enhancing theirtransnational influence. Their online presence is carefully and strategically crafted as it often constitutes their first point of contact with potential supporters. To identify linguistic markers or racist (online) communication and key presentational strategies of racistgroups, we examine the languagethey use when describingtheirself-definingbeliefson their websites. A dataset ofgroup online statements of racist self-defining beliefs (N= 102) was analysed using a computerised linguisticanalysis software; we compared this dataset witha baseline of neutral texts(N= 12,173). We found that online self-defining statements of racist groupswere characterised by greater use of divisivelanguage anda strongerfocus on collective identity. Weidentified an increased use of religion and anger words, and reduced use of sadness and cognitive complexity words. We conclude by discussingimplications of these findingsfor designing policiesaiming to counteractthe harmful societal effects of racist groups.

UR - https://www.scopus.com/pages/publications/85047666481

UR - http://10.31219/osf.io/n8xwv

U2 - 10.1111/asap.12159

DO - 10.1111/asap.12159

M3 - Article

SN - 1530-2415

VL - 18

SP - 307

EP - 322

JO - Analyses of Social Issues and Public Policy

JF - Analyses of Social Issues and Public Policy

IS - 1

ER -